지질공학 (The Journal of Engineering Geology)

  • 제27권2호
  • /
  • Pages.165-172
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  • 2017
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  • 1226-5268(pISSN)
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  • 2287-7169(eISSN)
대한지질공학회 (The Korean Society of Engineering Geology)
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델파이 기법을 활용한 터널 붕괴 위험도 분석을 위한 영향인자 도출에 관한 연구

A Study on Influence Factors for Tunnel Collapse Risk Analysis using Delphi Method

  • Kim, Jeong Heum (Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Chang Yong (Korea Institute of Civil Engineering and Building Technology) ;
  • Lee, Seung Soo (Civil and Environmental Engineering, Hanyang University) ;
  • Lee, Jun Hwan (Civil and Environmental Engineering, Yonsei University)
  • 투고 : 2017.06.09
  • 심사 : 2017.06.19
  • 발행 : 2017.06.30
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초록

본 연구는 델파이 기법을 활용하여 최적화 단면 설계 도출 및 시공중 터널 붕괴위험도 평가를 위해 필요한 평가영향인자를 정립하는 것을 목표로 하였다. 평가영향인자 정립은 문헌조사, 선행연구 및 전문가 집단의 브레인스토밍과정을 통하여 총 5개의 상위분류체계를 구축하였다. 21명의 전문가 패널을 구성하여 총 1, 2, 3차의 델파이 조사 과정을 통해 전문가 판단과정에서의 오류 및 편향을 방지하여 신뢰성을 향상시켰다. 델파이 1차 조사에서는 개방형 설문조사를 통해서 각 전문가 패널의 의견을 수렴하여 총 22개의 평가영향인자 후보군을 도출하였다. 델파이 2차 조사에서는 수집된 총 22개의 평가영향인자 후보군을 대상으로 리커트 7점 척도를 기반으로 중요도 설문을 수행하였으며 타당성 검증을 위해 CVR (Content Validity Ration)분석을 수행하여 부적합한 후보군을 제외하였다. 마지막으로 3차 조사에서는 2차 조사에서 도출된 결과를 가지고 재조사를 수행하였으며, 최종적으로 전문가 답변에 대한 CVR 및 COV (Coefficient of Variation)분석을 수행하여 총 14개의 평가영향인자를 도출하였다.

This research aims to define influence factors to perform an optimized section design and evaluate tunnel collapse risk during construction using Delphi technique. A total of five upper classification systems were constructed through literature review, pervious research analysis, and brainstorming of expert group for establishing influence factors. The $1^{st}$, $2^{nd}$, and $3^{rd}$ Delphi survey process was proceeded by panel group which is consisted 21 experts to prevent errors and bias in the expert judgement process. In Delphi $1^{st}$ survey, a total of 22 influence factors candidates were derived through open-ended questionnaire. In Delphi $2^{nd}$ survey, questionnaire was proceeded based on 7-point Likert scale method. In order to verify the validity, CVR (Content Validity Ration) analysis was performed to exclude inappropriate candidates. In the $3^{rd}$ survey, verification of influence factors was proceeded once more with the result of $2^{nd}$ survey, and lastly, a total of 14 influence factors was derived by CVR and COV (Content Validity Ration) analysis for response of experts.

키워드

참고문헌

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